Data Analyst Career Guide and Interview Preparation
IBM · View on Coursera ↗
Taught by IBM Skills Network Team
Data ScienceBusiness
About the course
Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and
The dissent
The most-upvoted critical review (1 vote, 3.0★).
“Rating is for the the basicness of the course i.e.. very basic. However, if you haven't searched for jobs before it may be a useful starting point. Otherwise, there's not much to help the advanced job seeker apart from the lab environment for SQL queries and Python EDA. Some suggestions would be a more in-depth look at ATS programs, how they work, and how to write resumes to maximise your chances to pass their selection.”
Coursera's 4.7 comes from 812 ratings. Of those, 1.2% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗